Data curation during a pandemic and lessons learned from COVID-19
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Date
Authors
Kraemer, Moritz U.G.
Scarpino, Samuel V.
Marivate, Vukosi
Gutierrez, Bernardo
Xu, Bo
Lee, Graham
Hawkins, Jared B.
Rivers, Caitlin
Pigott, David M.
Katz, Rebecca
Journal Title
Journal ISSN
Volume Title
Publisher
Nature Research
Abstract
Detailed, accurate data related to a disease outbreak enable informed public health decision making. Given the variety of data types available across different regions, global data curation and standardization efforts are essential to guarantee rapid data integration and dissemination in times of a pandemic.
Description
Data availability
The underlying dataset for Fig. 1a is available open access from the supplemental material in ref. 5, and datasets for Fig. 1b,c from the UNESCO World Heritage List 2021 in ref. 32.
Keywords
Data acquisition, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Scientific data, COVID-19 pandemic, Coronavirus disease 2019 (COVID-19)
Sustainable Development Goals
Citation
Kraemer, M.U.G., Scarpino, S.V., Marivate, V. et al. Data curation during a pandemic and lessons learned from COVID-19. Nature Computational Science 1, 9–10 (2021). https://doi.org/10.1038/s43588-020-00015-6.